JP2022061154A - Notification system and disaster prevention system using the same - Google Patents

Abstract

To provide a notification system capable of collecting information about voice notification from a resident, receiving image information shot by the resident, processing position information related to these information, displaying the notified voice information and image information on a map, processing time information and adding an event ID, and narrowing down a notification theme, and a disaster prevention system using the same.SOLUTION: A notification system comprises: a voice recognition unit 5 which recognizes notification voice data 17 of a telephone and converts the recognized data to notification voice text data 20; an information generation unit 8 which associates the voice text data with address text data 21 of a telephone source, informer data 15, identifier data 16 according to contents of the notification voice text data 20, and ID data 14 for identifying and extracting the notification voice text data 20; and a mapping unit 10 which collates the address text data 21 with mapping data 23 and associates the address text data 21 with the mapping data 23.SELECTED DRAWING: Figure 1

Description

The present invention classifies voice and image reports from third parties to government agencies and public interest groups according to their content, sorts them according to the time axis and region, and makes it possible to identify the content of the report on the map. It relates to a reporting system that can be viewed every time and a disaster prevention system that uses the reporting system for reports related to disaster prevention.

In Japan, where natural disasters such as typhoons and earthquakes occur frequently, various systems for disaster prevention have been invented.

For example, in Patent Document 1, under the name of "river information provision system", in order to promptly predict the flooding of a river due to rainfall and ensure the safety of residents, the amount of rain by a radar, the movement of a rain area, etc. are analyzed to predict the flood. , A system that enables prompt and accurate response by notifying the results of sediment-related disaster prediction and flood simulation to a wide range of related platforms is disclosed.

In addition, Patent Document 2 has the name "Sediment-related disaster crisis management system", which centrally collects and manages information obtained by related administrative agencies in situations where sediment-related disasters are predicted, and collects and manages this information in real time. An information system that realizes a swift and accurate administrative response to sediment-related disasters is disclosed by the government agencies and residents. To collect information, use a mobile information terminal, etc. to acquire photo information and location information as witness information on sediment-related disaster precursors, and collect rainfall, dangerous areas, evacuation sites and evacuation routes for residents as grasped by government agencies. By sharing these together and drawing out the necessary information in real time by each administrative agency and residents, it is possible to realize a speedy and accurate administrative response to sediment-related disasters caused by rainfall.

Further, in Patent Document 3, under the name of "bidirectional information distribution system", a wireless area is provided by using a base station for a plurality of short-range wireless systems, and the base station is equipped with a camera device. Necessary information such as camera images can be distributed to residents via communication line networks such as the Internet network and regional intra-network through information communication devices that can be connected to base stations via wireless lines, and necessary information can be posted by residents. The invention is disclosed.
Further, in the present invention, when there is an audio source to be notified from the local government, it is possible to manage and store the audio broadcast information by connecting to the disaster prevention administrative radio, and the audio broadcast information can be redistributed, and the location information is included in the broadcast content. When included, it is also possible to add location information to the audio broadcast information and store the audio broadcast information to which the location information is added in association with the location information and the audio distribution date and time.

Japanese Unexamined Patent Publication No. 2002-269656 Japanese Patent Application Laid-Open No. 2003-247238 Japanese Unexamined Patent Publication No. 2018-22509

However, although the technique disclosed in Patent Document 1 can quickly predict the flooding of rivers due to rainfall by analyzing the amount of rainfall and the movement of rain areas by radar, it changes in real time to ensure the safety of residents. There was a problem that it was not possible to grasp the actual situation. Although each individual owns a mobile phone and is in an environment where images taken by the camera built into the mobile phone can be collected as in modern times, the idea of using images taken by residents as information is lacking and cannot be used. There was a problem.
On the other hand, in Patent Document 2, camera information from residents can be collected and image information can be utilized, but audio information explaining an image is not utilized, and it is installed in a general household. However, there is a problem that image information cannot be sent from a landline telephone that does not have a built-in camera function, and information on disasters cannot be collected sufficiently.
In Patent Document 3, measures such as redistribution are possible for audio sources from the administrative side, but officials of administrative agencies and public interest organizations write down the audio reports from the residents. There was a problem that it could not be utilized because it took time and effort to deal with it or input it to a computer to deal with it.
Further, the inventions disclosed in Patent Documents 1-3 have a problem that it is not easy to record a report for each disaster as a history in response to a disaster such as a typhoon or an earthquake.
Specifically, it is automatically generated as data with an identifiable flag (ID) for the time (period) information to be added to the information and the position information, and the data is searched using the ID as a key while storing this in the database. There was a problem that it was not possible to extract only disasters such as specific typhoons and earthquakes.

The present invention has been made in response to such conventional circumstances, and while collecting information on voice-only reports from residents, images taken by residents, including fixed-point surveillance cameras and cameras mounted on drones. Information can be received, and by processing the location information related to these information, the reported voice information and image information can be displayed on the map, and further, the time information related to these information can be processed. The purpose is to provide a reporting system that can add a time-derived event ID and narrow down the reporting theme, and a disaster prevention system that uses it.

In order to achieve the above object, the reporting system according to the first invention has a voice recognition unit that recognizes voice data of a telephone received by an operator and converts it into voice text data, and the telephone sends a call to the voice text data. Address data related to the area, provider data related to the provider who provided the voice data, identifier data preset according to the content of the voice text data, and ID data for specifying or extracting the voice text data. It is characterized by having an information generation unit for associating the address data with the data, and a mapping unit for reading the address data, collating it with the map data, and associating the voice text data with the corresponding position in the map data.
In the reporting system having the above configuration, the voice recognition unit recognizes the voice data of the telephone received by the operator and converts it into voice text data, and the information generation unit voices the address data, the provider data, the identifier data and the ID data. It works so that it can be linked to text data. Further, the mapping unit collates the address data associated with the voice text data with the map data, and acts to paste the voice text data at a position corresponding to the address data in the map data so that the voice text data can be output.
The "ID" includes symbols that can identify the data to be attached or associated, numbers, characters, and figures with meanings such as one-dimensional codes and two-dimensional codes. Furthermore, it is a concept including a wording that is conceived by assuming or based on the content of the data to be attached or associated.

Further, the reporting system according to the second invention is characterized in that, in the first invention, it has a text analysis unit that analyzes the voice text data and generates the address data.
In the reporting system having the above configuration, in addition to the action of the first invention, the text analysis unit acts to analyze the contents of voice text data, extract geographical data from the contents, and generate address data. ..

In the notification system according to the third invention, in the first or second invention, the information generation unit associates reception time data relating to the time when the telephone is received with the voice text data, and reads the reception time data. It is characterized by having a first sort unit for rearranging the voice text data by using the reception time data or by reading the address data and using the address data.
In the notification system having the above configuration, in addition to the action of the first or second invention, the information generation unit acts to link not only the address data but also the reception time data to the voice text data, and the first sort unit is It acts to sort the voice text data using the reception time data or the address data.

Then, in the third invention, the notification system according to the fourth invention is in the period between the one reception time data selected as the starting point and the other reception time data after the reception time data. It is characterized by having a first ID generation unit that generates and associates an event (event) name that is desired to be desired as an ID with the voice text data associated with the included reception time data. be.
In the notification system having the above configuration, the first ID generation unit reads the reception time data associated with the voice text data, and between the reception time data selected as the starting point and the reception time data selected as the ending point in advance. It acts to generate and associate the event name desiredly set with respect to the voice text data associated with the reception time data included in the period as an ID.

In the notification system according to the fifth invention, in any one of the first to fourth inventions, the information generation unit receives image data accompanied by time data and position data via an information communication network. Then, the image data is associated with the identifier data preset according to the content of the image data and the ID data for specifying or extracting the image data, and the mapping unit uses the position data. Is read and collated with the map data, and the image data is associated with the corresponding position in the map data.
In the notification system having the above configuration, in addition to the action of any one of the first to fourth inventions, the information generation unit receives image data with time data and position data via the information communication network. Then, it acts to associate the identifier data and the ID data with the image data. Further, the mapping unit acts to read the position data and collate it with the map data in the same manner as the voice text data, and paste the image data at the position corresponding to the position data in the map data so that it can be output.
The "position data" means global positioning data obtained by using the Global Positioning System (GPS), and specifically, it is data consisting of numerical values of latitude and longitude. Furthermore, the "image data" of "image data with time data and position data" means both "data related to moving images" and "data related to still images", and "with time data and position data". Means that time data and position data are added as metadata of the moving image or the still image itself obtained by being photographed. Therefore, both the moving image data and the still image data are inseparably configured with the time data and the position data.

In the fifth aspect of the invention, the notification system according to the sixth aspect is described by the information generation unit reading the time data and using the time data, or reading the position data and using the position data. It is characterized by having a second sort unit for rearranging image data.
In the notification system having the above configuration, in addition to the action in the fifth invention, the second sort unit acts to sort the image data using the time data or the position data. The second sort unit may be shared with the first sort unit.

The notification system according to the seventh invention is included in the period between one said time data selected as a starting point and the other said time data after this time data in the fifth or sixth invention. The image data to which the time data is attached is characterized by having a second ID generation unit that generates an event name that is desired to be set as an ID.
In the notification system having the above configuration, in addition to the operation of the fifth or sixth invention, the second ID generation unit reads the time data attached to the image data and uses the time data and the end point selected in advance as the start point. The time data included in the period between the selected time data and the selected time data acts to generate and associate the event name desiredly set with respect to the associated image data as an ID. The second ID generation unit may be shared with the first ID generation unit.

The notification system according to the eighth invention is the invention of any one of the fifth to seventh inventions, wherein the image data is at least one of a camera built in a mobile phone, a camera installed in a drone, or a fixed point surveillance camera. It is characterized in that it is image data taken by one of them.
The operation of the notification system having the above configuration is the same as that of any one of the fifth to seventh inventions.

The disaster prevention system according to the ninth invention is characterized in that the voice text data is used as voice text data related to disaster prevention information in any one of the first to fourth reporting systems.
The disaster prevention system having the above configuration differs only in that the content of the notification is related to disaster prevention, but its action is the same as that of any one of the first to fourth inventions.

In the disaster prevention system according to the tenth invention, in any one of the fifth to eighth reporting systems, the voice text data is used as voice text data related to disaster prevention information, and the image data is used as image data related to disaster prevention information. It is characterized by.
The disaster prevention system having the above configuration differs only in that the content of the notification is related to disaster prevention, but its action is the same as that of any one of the fifth to eighth inventions.

In the reporting system according to the first invention, the content of the voice data received by the telephone can be converted into text data, which can be mapped and visualized on the map data. Further, by associating the address data, the provider data, the identifier data, and the ID data, it is possible to classify and extract the voice text data for each of these data.

In the reporting system according to the second invention, in addition to the effect of the first invention, it is possible to link the analyzed address data to the voice text data without the need for labor and labor to separately input the contents of the address data. Is.

In the reporting system according to the third invention, in addition to the effects of the first or second invention, it is possible to sort the voice text data based on the reception time data and the address data. By this sorting, it is possible to arrange the voice text data in chronological order, and it is possible to analyze the voice text data from the viewpoint of the history and history of the report. In addition, it is possible to arrange the voice text data by region, and it is possible to analyze the voice text data from the viewpoint of the regional characteristics of the report.

In the notification system according to the fourth invention, in addition to the effect of the third invention, the ID generation unit can generate a desired event name assumed from the contents of the voice text data existing within a certain period as an ID. , When the contents common to a certain period are assumed, the event name that symbolizes the assumption is generated as an ID and associated with it, and the reports related to the assumed event are collectively extracted, managed or analyzed. Is possible.

In the notification system according to the fifth invention, in addition to exhibiting the same effect as that of any one of the first to fourth inventions, not only voice text data but also time data and position data are attached. By receiving the image data, it is possible to map the report by image as well as the report by telephone on the map data, so that the viewer can easily understand the content of the report from both words and images. Is possible. It is thought that image data has more information than words, but it cannot be denied that there is a possibility of misunderstanding the viewer if there is no explanation, and misunderstandings occur when the explanations in words are mapped at the same time. It can help the viewer's quick understanding while reducing the possibility.

In the notification system according to the sixth invention, in addition to the effect of the fifth invention, it is possible to rearrange the image data based on the time data and the position data as in the third invention. By this sorting, it is possible to arrange the image data in chronological order, and it is possible to analyze the image data from the viewpoint of the history and history of the report. In addition, it is possible to arrange the image data by region, and it is possible to analyze the image data from the viewpoint of the regional characteristics of the report.

In the notification system according to the seventh invention, in addition to the effects of the fifth or sixth invention, as in the fourth invention, the ID generator is desired from the contents of the image data existing within a certain period. Since the event name of can be generated as an ID, when common contents are assumed in a certain period, the event name symbolizing the assumption is generated as an ID and associated with the report related to the expected event. It can be collectively extracted, managed or analyzed.

In the notification system according to the eighth invention, the content of the image data is the image data taken by at least one of a camera built in the mobile phone, a camera installed in the drone, or a fixed point surveillance camera. It is possible to achieve the same effect as that of any one of the fifth to seventh inventions.

The disaster prevention system according to the ninth invention differs only in that the content of the notification is related to disaster prevention, but the effect is the same as the effect of any one of the first to fourth inventions. be.

The disaster prevention system according to the tenth invention differs only in that the content of the notification is related to disaster prevention, but the effect is the same as the effect of any one of the fifth to eighth inventions. be.

It is a system block diagram of the disaster prevention system which concerns on embodiment of this invention. It is a conceptual diagram which shows the state which receives the telephone call from the whistleblower in the disaster prevention system which concerns on embodiment of this invention. It is a conceptual diagram which shows the state which the image data from the fixed point surveillance camera mapped on the map data popped up by a viewer in the disaster prevention system which concerns on embodiment of this invention. It is a conceptual diagram which shows the state which the image of the disaster site is transmitted through the camera mounted on the drone to the disaster prevention system which concerns on embodiment of this invention, and is provided to the meeting in the municipal office building. FIG. 5 is a conceptual diagram showing a state in which a disaster image transmitted from a whistleblower is mapped on map data and a state in which image data related to the disaster image is popped up by a viewer in the disaster prevention system according to the embodiment of the present invention. It is a conceptual diagram which shows the state which the image data about the disaster image mapped on the map data popped up by a viewer in the disaster prevention system which concerns on embodiment of this invention. It is a conceptual diagram for demonstrating the function which adds the event name as ID by the ID generation part of the disaster prevention system which concerns on embodiment of this invention. In the disaster prevention system according to the embodiment of the present invention, a desired event name assumed from the contents of image data existing within a certain period is attached as an ID and summarized as a list.

Hereinafter, the notification system according to the embodiment of the present invention will be described with reference to FIG. As a form of the notification system for carrying out the invention, a disaster prevention system that handles information on the occurrence and signs of a disaster will be adopted and explained. FIG. 1 is a system configuration diagram of a disaster prevention system.
In FIG. 1, the disaster prevention system 1 includes an input unit 2 and an output unit 3 for communicating with the outside, and a processing unit 4 for processing data related to the disaster prevention system 1, and is provided with input data and post-processing data. It includes a notification voice database 13, a character conversion database 19, a map database 22, a form database 24, and a notification image database 26 for storing data.
The processing unit 4 includes a voice recognition unit 5, a text analysis unit 6, an ID generation unit 7, an information generation unit 8, a sort unit 9, and a mapping unit 10.
The report voice database 13 is a database that readablely stores data related to voice reports from the whistleblower (provider) mobile phone 42 or fixed telephone, and includes ID data 14, whistleblower data 15, identifier data 16, and reception time data. 18 is associated with and stored in the report voice data 17.
The character conversion database 19 is a database that stores the report voice text data 20 in which the report voice data 17 stored in the report voice database 13 is text-converted by the voice recognition unit 5, and the report voice text data 20 includes the ID data 14 and The reporter data 15, the identifier data 16 and the reception time data 18 are associated with each other, and the address text data 21 obtained by analyzing the contents of the report voice text data 20 by the text analysis unit 6 of the processing unit 4 is associated with the reporter data 15. ing.
The report image database 26 is a database that readablely stores data related to image reports from the reporter's mobile phone 42 or computer 43, and has ID data 27 and 34 and reporter data 28 for both moving images and still images, respectively. , 35, notification moving image data 30 or notification still image data 37 associated with identifier data 29, 36 are stored, and shooting time data 32, 39 and shooting position data 33, 40 are attached to incidental data 31, respectively. It is attached as 38.

The map data 23 is stored in the map database 22, and is associated with the address text data 21 associated with the notification voice text data 20, the notification moving image data 30, or the notification still image data 37 by the mapping unit 10. The position data 33 and 40 at the time of shooting are collated with the map data 23, and the notification voice text data 20, the notification moving image data 30, and the notification still image data 37 are associated with the corresponding position data in the map data 23. By executing this process, mapping is completed, and an icon is displayed at the mapped position when the map data 23 is displayed on the screen of the mobile phone 42 or computer 43 of the user of the disaster prevention system 1, and the icon is clicked. As a result, the notification voice text data 20, the notification moving image data 30, and the notification still image data 37 associated with the position are displayed.
The form data 25 is stored in the form database 24, and when the voice recognition unit 5 converts the report voice data 17 into the report voice text data 20 and the text analysis unit 6 analyzes it, the text analysis unit 6 performs it. Form data 25 for voice reception is read from the form database 24, and the form data 25 is associated with the converted report voice text data 20, the analyzed and extracted reporter data 15, and the address text data 21 for character conversion. When the reporter posts the report moving image data 30 or the report still image data 37 from the mobile phone 42 or the computer 43, the information generation unit 8 reads the form data 25 from the form database 24 and stores the data in the database 19. It is displayed via the output unit 3, posted according to the form data 25, and the report moving image data 30 and the report still image data 37 are associated with the form data 25 and stored in the report image database 26. In addition, a wording urging to add an explanatory text sentence regarding the notification moving image data 30 and the notification still image data 37 may be added to the form data 25. In that case, the data of the text explanation is associated with the notification moving image data 30 and the notification still image data 37, and can be viewed at the same time as the notification moving image data 30 and the notification still image data 37.

The input unit 2 is a drone camera 11 or a fixed point monitoring camera 12 connected to the information communication network 41, or a voice or image transmitted from a mobile phone 42 or a fixed telephone of a user of the disaster prevention system 1, and a user (report). The purpose is to input images and text data transmitted from the computer 43 of the person), but the connection between the input unit 2 and the device for inputting these information may be wired or wireless. The input unit 2 is also used for data input by the operator of the disaster prevention system 1.
For example, in response to a telephone report received by the operator, the form data 25 read from the form database 24 by the voice recognition unit 5 is displayed via the output unit 3, and the content of the report that cannot be recognized by the text analysis unit 6 is displayed on the form data 25. , May be input to be supplemented via the input unit 2. Alternatively, it is also used to store the map data 23 in the map database 22 and the form data 25 in the form database 24 in advance.
Specifically, the input unit 2 corresponds to a keyboard, a mouse, a pen tablet, an optical reading device, another device as a data receiving unit, or a receiving terminal from an information communication network 41.
The output unit 3 outputs (displays) a screen (interface screen) using the form data 25 for prompting data input in each unit of the processing unit 4, the contents of the processing instruction, the data obtained as a result of the processing, and the like. Alternatively, the data stored in each database can be selected via the processing unit 4, or searched / extracted and output (displayed). Specifically, a display device such as a CRT, a liquid crystal display, a plasma or an organic EL, an output device such as a printer device, and a transmission device such as a transmitter for transmitting to an external device can be considered. Of course, it may be something like an interface to the output for transmission to an external device.

The processing unit 4 includes a voice recognition unit 5, a text analysis unit 6, an ID generation unit 7, an information generation unit 8, a sort unit 9, and a mapping unit 10.
The voice recognition unit 5 is a device having a function of recognizing the report voice data 17 of the caller who made a voice using a mobile phone 42, a telephone, or the like regarding the occurrence or sign of a disaster and converting it into the report voice text data 20.
Further, the text analysis unit 6 is a device that analyzes the content of the notification voice data 17 converted into the notification voice text data 20 by the voice recognition unit 5, and specifically, the name and the area included in the disaster prevention system 1 in advance. By storing the existing place name and the word related to the report content in the memory and collating the content of the report voice data 17 converted into text, the reporter data 15 and the report voice text data 20 regarding the reporter's name and the like are collated. And the address text data 21 regarding the disaster occurrence place can be extracted.
In addition, for example, it is considered that there is a report received by e-mail regardless of the telephone, but in that case, the reporter data regarding the reporter's name etc. is processed by the text analysis unit 6 without going through the voice recognition unit 5. 15. It is possible to extract the report voice text data 20 and the address text data 21. Further, when a report is made from the mobile phone 42 or the computer 43 by text data along with the form data 25, the form data 25 is provided with columns for the name, address, and report content of the reporter in advance, so that the text analysis unit 6 may use the text analysis unit 6. It is possible to read data from each column and extract the whistleblower data 15, the whistleblower voice text data 20 and the address text data 21 regarding the whistleblower name and the like.
The ID generation unit 7 receives the report voice data 17 by the caller, the drone camera 11, the fixed point monitoring camera 12, the report moving image data 30 by the reporter, and the report still image data 37 received via the input unit 2. , Is a device that generates ID data 14, 27, 34, respectively. The types of ID data 14, 27, 34 generated by the ID generation unit 7 are the four types of ID data 14, 27, 34 shown in Table 1. The data recognition serial number IDs are ID data 14, 27, 34 that are automatically numbered for all received data. The information source IDs are ID data 14, 27, 34 relating to the means of reporting, which are automatically generated according to the contents of the data received by the ID generation unit 7, and are called from the whistleblower and (from the whistleblower). Examples include electronic) mail (including mail received from the mobile phone 42 and the computer 43 along the form data 25), a drone camera 11, a fixed point monitoring camera 12, and the like.

The event ID is ID data 14, 27, 34 input from the operator via the input unit 2 and generated by the ID generation unit 7. This event ID simply expresses the reported disaster, and corresponds to, for example, "Reiwa 2nd year XX prefecture heavy rain" and "Reiwa 2nd year typhoon No. 10".
Further, the area IDs are ID data 14, 27, 34 that are predetermined and stored by the ID generation unit 7 for each prefecture, city, town, or village in the map data 23, or for each area that is desired to be set, and are, for example, received reports. Corresponding from the position information included in the shooting position data 33 and 40 attached to the moving image data 30 and the reporting still image data 37 and the address name included in the address text data 21 obtained by analyzing from the reporting voice text data 20. ID data 14, 27, 34 extracted and generated as an ID related to the area.

Next, the information generation unit 8 makes a voice report voice data 17 of a whistleblower using a mobile phone 42, a telephone, or the like regarding the occurrence or sign of a disaster, and a report video received from the drone camera 11 or the fixed point monitoring camera 12. The format of the data used in the disaster prevention system 1 by receiving the image data 30 and the notification still image data 37, as well as the notification moving image data 30 and the notification still image data 37 posted by the reporter via the input unit 2. It is a device for readable storage in the notification voice database 13, the character conversion database 19, and the notification image database 26.
Specifically, for the notification voice data 17 input to the input unit 2, the ID generation unit 7 automatically generates the data recognition serial number ID and the information source ID as the ID data 14, so that the information is generated. The unit 8 associates the ID data 14 generated by the ID generation unit 7 with the report voice data 17. Further, the information generation unit 8 is input via the input unit 2 by the operator who received the telephone, or the whistleblower data 15 regarding the whistleblower name or the like obtained by the analysis by the text analysis unit 6 is also for the report voice data 17. Link. Further, the information generation unit 8 associates the identifier data 16 regarding the disaster content input by the operator via the input unit 2 with the reception time data 18 received by using the time generation function of the telephone with the report voice data 17. .. The information generation unit 8 associates these data with the notification voice data 17 and stores them in the notification voice database 13 so as to be readable.

Further, the information generation unit 8 has a text analysis unit 6 in addition to the ID data 14, the reporter data 15, the identifier data 16 and the reception time data 18 for the notification voice text data 20 converted by the voice recognition unit 5. The address text data 21 extracted by is also associated. Further, the information generation unit 8 also receives the area ID generated by the ID generation unit 7 that receives the address text data 21 and associates it with the report voice text data 20. Then, the address text data 21 to which various data are associated is stored in the character conversion database 19 so as to be readable.
Although the address text data 21 is not associated with the report voice data 17, it is the report voice text data after being converted into text that is associated with the map data 23 by the mapping unit 10 described later. Because it is only 20. Therefore, although it is not necessary to associate the address text data 21 obtained by the text analysis unit 6 with the report voice data 17, it does not exclude the association.

Further, for the notification moving image data 30 and the notification still image data 37 received from the drone camera 11, the fixed point monitoring camera 12, or the reporter via the input unit 2, the ID generation unit 7 automatically recognizes the data. Since the number ID and the information source ID are generated as the ID data 27 and 34, the information generation unit 8 converts the ID data 27 and 34 generated by the ID generation unit 7 into the notification moving image data 30 and the notification still image data 37. Link to it.
Furthermore, by equipping the drone camera 11 and the fixed point monitoring camera 12 with a GPS device and a communication device in advance, in addition to accurate position information based on positioning by satellite, accurate information obtained based on the basic time system of GPS can be obtained. Since various time information can be received, the shooting time data 32, 39 and the shooting position data 33, 40 are transmitted to the input unit 2 of the disaster prevention system 1 as incidental data 31, 38 to the notification moving image data 30 and the notification still image data 37. It is possible to do. As for the time information, a function compatible with the NITZ (Network Identity and Time Zone) standard may be used instead of the basic time system of GPS. The information generation unit 8 generates ID data 27, 34 for the notification moving image data 30 and the notification still image data 37, which are accompanied by the shooting time data 32, 39 and the shooting position data 33, 40 obtained in this way. Link.

Further, since the drone camera 11 and the fixed point monitoring camera 12 recognize the data related to the drone camera 11 and the fixed point monitoring camera 12 in advance as the reporter data 28 and 35, respectively, the information generation unit 8 reports the notification moving image data 30 and the notification. It is possible to associate with the still image data 37. Further, the identifier data 29 and 36 relating to the disaster content are input from the input unit 2 by the operator, and the information generation unit 8 receives the input and associates it with the notification moving image data 30 and the notification still image data 37.
Further, the ID generation unit 7 reads the incidental shooting position data 33 and 40, selects an area ID set and stored for each area in advance from the position information included in the data, and shoots the area ID. It is generated as an area ID for the time position data 33 and 40. The information generation unit 8 receives this area ID and associates it with the notification moving image data 30 and the notification still image data 37 as ID data 27 and 34. The notification moving image data 30 and the notification still image data 37 associated with various data are readable and stored in the notification image database 26 by the information generation unit 8.
Similarly, when the notification moving image data 30 and the notification still image data 37 input by the reporter are also received from a smartphone, digital camera, video camera, etc. equipped with a GPS function, the shooting time data 32, 39 and the same are used. Since the position data 33 and 40 at the time of shooting are attached as metadata, the information generation unit 8 also receives the ID data 27 and 34 and the reporter data 28 for the report moving image data 30 and the report still image data 37. , 35, and identifier data 29, 36 are associated, but the reporter data 28, 35 is associated with what is input when the reporter moving image data 30 or report still image data 37 is transmitted by the reporter.
If the reporter data 15 and the reception time data 18 can be handled in association with the report voice data 17 and the report voice text data 20 converted in advance by the voice recognition unit 5, the information generation unit 8 does not need to be associated with these data. The same applies to the report moving image data 30 and the report still image data 37 in the reporter data 28 and 35. Further, in a smartphone, a digital camera or a video camera, NITZ may be adopted instead of the basic time system of GPS.

First, the sort unit 9 reads the report voice data 17 from the report voice database 13, reads the report voice text data 20 from the character conversion database 19, and reads the report video data 30 or the report still image data 37 from the report image database 26. .. Then, in the time series of the time information of the reception time data 18 associated with the report voice data 17 and the report voice text data 20, the shooting time data 32 and 39 attached to the report moving image data 30 and the report still image data 37. Based on this, it is a device having a function of rearranging the report voice data 17, the report voice text data 20, the report moving image data 30, and the report still image data 37.
The sorting unit 9 not only sorts in chronological order, but also has ID data 14, 27, 34 such as area ID, whistleblower data 15, 28, 35, identifier data 16, 29, 36, and address text. It is also possible to specify or extract the notification voice data 17, the notification voice text data 20, and the notification still image data 37 using the data 21, the shooting position data 33, and 40 as search keys.
Specifically, if the ID data is 14, 27, 34, it is possible to narrow down by the IDs shown in Table 1, and for example, it is possible to extract only those whose area ID is Hofu City. Further, the whistleblower data 15, 28, 35 can be extracted based on any of the data in Table 2 described later, and further, the identifier data 16, 29, 36 relating to the disaster content can be extracted. It is also possible to extract only the disaster contents shown in Table 3 described later. For the address text data 21 and the shooting position data 33 and 40, for example, one point on the map data 23 can be selected, and a range can be freely set and extracted such as within a radius of 1 km around the point. ..

First, the mapping unit 10 reads the notification voice text data 20 from the character conversion database 19 and reads the notification moving image data 30 or the notification still image data 37 from the notification image database 26. Then, the map database 22 maps the address text data 21 associated with the report voice text data 20, the report moving image data 30, and the position data 33 and 40 at the time of shooting attached to the report still image data 37. The data 23 is read out, collated with the position information of the map data 23, and the report voice text data 20, the report moving image data 30 and the report still image data 37 can be linked and read to the corresponding positions in the map data 23, respectively. It is a device with a function to store in each database.
Further, the mapping unit 10 attaches an icon to the data, and when an external user browses the map data 23 via the output unit 3, the mapping unit 10 clicks the icon to report the voice text data 20. It is possible to browse the notification moving image data 30, the notification still image data 37, and various data associated therewith.
Therefore, an external user of the disaster prevention system 1 outputs the map data 23 in which the notification voice text data 20, the notification moving image data 30, and the notification still image data 37 are linked to the corresponding position of the map data 23. When the map data 23 is read from the map database 22 via the above, an icon is displayed in the map data 23 so that each data can be clicked and viewed. The mapping by the mapping unit 10 is executed at the timing when the notification voice text data 20 is stored in the character conversion database 19 and at the timing when the notification moving image data 30 or the notification still image data 37 is stored in the notification image database 26. It is desirable, but it can be executed at the desired timing.

Further, since it is expected that the mapping unit 10 of the disaster prevention system 1 according to the present embodiment will concentrate the provision and posting of information on the site of occurrence in the event of a disaster or the like, it is expected that the information will be provided and posted within the area included in the desired distance. It has a summarizing function of linking a plurality of linked address text data 21 and shooting position data 33 and 40 to the position data in one map data 23. For example, the image information taken by the drone camera 11, the shooting position data 33 and 40 associated with or attached to the image information and the voice text information reported by the general public, and the address text data 21 do not exactly match. At the disaster site, there is a high possibility that many icons will be scattered on the map. In this case, when the user of the disaster prevention system 1 tries to confirm each information, it is complicated because it is necessary to click each icon, and it is difficult to obtain the information about the disaster in a hurry.
Therefore, the mapping unit 10 collectively selects the position data of the map data 23 as a representative for the address text data 21 and the shooting position data 33 and 40 within a desired range on the map, and notifies the position data. The voice text data 20, the report moving image data 30, and the report still image data 37 can be linked. Specifically, the address text data 21, the report moving image data 30, or the report still image data 37, which has position data at a desired distance away from the position data of the map data 23 that has already been linked, are already linked. Summarize by associating with position data. Since the desired distance can be freely set in the mapping unit 10, it is set by the balance of the number of the report voice text data 20, the report moving image data 30, or the report still image data 37, which is summarized with the accuracy of the display position on the map. It is good.
By providing such a summary function, it is possible to obtain a plurality of information by clicking one icon, and it is possible to quickly carry out evacuation activities and relief activities.

The drone camera 11 is a camera mounted on the drone, and as described above, the drone is equipped with a communication device for transmitting moving images and still images taken by this camera to the input unit 2 of the disaster prevention system 1. Furthermore, the time information (shooting time data 32, 39) and the position information (shooting position data 33, 40) are meta in the notification moving image data 30 and the notification still image data 37 taken by mounting the GPS device. It is incidental as data (incidental data 31, 38).
This drone camera 11 can deliver the current status of disasters in real time by, for example, a local government employee or a pre-contracted operator operating from a safe place near the site, and is a person concerned at the disaster countermeasures headquarters of a remote local government. Not only can it be viewed by local residents, but it can also be viewed by local residents.
In addition, by equipping a plurality of these drone cameras 11 and flying them to a place where there is a risk of a secondary disaster and collecting information from the notification moving image data 30 and the notification still image data 37, an early evacuation advisory by the local government It is possible to urge local residents to voluntarily evacuate as soon as possible.

The fixed point monitoring camera 12 is a camera installed in a dangerous place where a disaster is likely to occur or a place where a disaster may cause great damage, and is a moving image and a moving image like the drone camera 11. A communication device and a GPS device for transmitting a still image to the input unit 2 of the disaster prevention system 1 are installed, and time information (shooting time data 32, 39) is added to the reported moving image data 30 and the reported still image data 37 taken. ) And the position information (position data 33, 40 at the time of shooting) can be transmitted to the input unit 2 of the disaster prevention system 1 in a state of being attached as metadata (incidental data 31, 38).
Since the fixed point monitoring camera 12 can constantly transmit the notification moving image data 30 or the notification still image data 37, it is in a state before a disaster occurs and over time due to an increase in the water level of a river or an increase in the amount of water stored in a dam. It is possible to compare to. In addition, it is highly possible that it will be an important source of information until the moving image or still image by the drone camera 11 or a general whistleblower arrives.

Next, the data stored in the notification voice database 13 will be described.
The ID data 14 readable and stored in the notification voice database 13 by the information generation unit 8 is a general term for four types of IDs generated by the ID generation unit 7, as described with reference to Table 1.

The whistleblower data 15 readable and stored in the whistleblower database 13 by the information generation unit 8 is data relating to the name and the like of the whistleblower by voice from the mobile phone 42 or the landline telephone. Specifically, the data includes, for example, the items shown in Table 2, and the items shown in Table 2 are predetermined and stored in the information generation unit 8. In Table 2, the account is assigned by the whistleblower registering with the disaster prevention system 1, and may be arbitrarily determined by the whistleblower, or automatically assigned by the information generation unit 8 of the disaster prevention system 1. You may.
When receiving the report voice data 17 by voice report from a mobile phone 42, a fixed telephone, or the like, the operator of the disaster prevention system 1 confirms the items shown in Table 2 and confirms the items shown in Table 2, and the information generation unit 8 via the input unit 2. The reporter voice data 15 is obtained by the text analysis unit 6 analyzing and extracting the report voice text data 20 input to or obtained by the voice recognition unit 5, and the text analysis unit 6 transfers the report to the information generation unit 8. Entered.
The contents shown in Table 2 are examples, and there may be items to be added or deleted depending on the topography of the area and the like.

The identifier data 16 readable and stored in the report voice database 13 by the information generation unit 8 is data for identifying the disaster content included in the report voice data 17 of the reporter by voice from the mobile phone 42 or the fixed telephone. be.
These items of the identifier data 16 are predetermined and stored in the information generation unit 8, and when the notification voice data 17 is provided by the whistleblower, the contents of Table 3 are displayed on the reception display of the operator as the output unit 3. Is displayed, and the one selected from them is transmitted to the information generation unit 8 via the input unit 2, and the information generation unit 8 associates with the notification voice data 17.

The report voice data 17, which is readable and stored in the report voice database 13 by the information generation unit 8, is a case where the whistleblower reports a disaster to the operator of the disaster prevention system 1 using a mobile phone 42 or a landline telephone. This is voice data related to the contents of a call received via the input unit 2. The operator who operates the disaster prevention system 1 inquires about the contents included in the reporter data 15 shown in Table 2, considering that the report voice data 17 is converted into the report voice text data 20 by the voice recognition unit 5. By inquiring about which of the address of the disaster occurrence location and the identifier data 16 regarding the disaster content shown in Table 3 corresponds to the disaster, the report voice data 17 includes the report regarding the name of the whistleblower analyzed by the text analysis unit 6. Person data 15, report voice text data 20, and address text data 21 can be included with a higher probability.

The reception time data 18 readable and stored by the information generation unit 8 in the notification voice database 13 is input when the reporter makes a report regarding a disaster to the operator of the disaster prevention system using a mobile phone 42 or a fixed telephone. It is data about the arrival time of the call received through the unit 2, is generated by the input unit 2, and is input to the information generation unit 8.
As described above, with respect to the report voice data 17 readable and stored in the report voice database 13, the information generation unit 8 is the ID data 14 generated by the ID generation unit 7 and input to the information generation unit 8, and the disaster prevention system. The information generation unit 8 is extracted by the text analysis unit 6 that analyzes the contents of the notification voice text data 20 that is input to the information generation unit 8 via the input unit 2 by the operator of 1 or converted by the voice recognition unit 5. Reporter data 15 input to, identifier data 16 input by the operator of the disaster prevention system 1 to the information generation unit 8 via the input unit 2, reception time data generated by the input unit 2 and input to the information generation unit 8. 18 is linked.

Next, the data stored in the character conversion database 19 will be described.
In the character conversion database 19, the voice recognition unit 5 reads out the notification voice data 17 associated with the ID data 14 and the like from the notification voice database 13, converts it into the notification voice text data 20, and inputs it to the information generation unit 8. The text analysis unit 6 reads the report voice text data 20 from the voice recognition unit 5 or the information generation unit 8, analyzes data other than the reporter data 15 already associated with the report voice data 17, and addresses text. The data 21 is extracted and input to the information generation unit 8.
For the report voice text data 20 readable and stored in the character conversion database 19, the information generation unit 8 has ID data 14, reporter data 15, identifier data 16 and reception time associated with the report voice data 17. At the same time as associating the data 18, the address text data 21 analyzed and extracted by the text analysis unit 6 is associated.

Next, the map data 23 stored in the map database 22 will be described.
The map data 23 uses the data of the Geographical Survey Institute, and the line indicating the boundary of the local government such as the topography, the prefectural border, and the city border is shown corresponding to the numerical data of longitude and latitude. Therefore, when position data including the longitude and latitude related to the disaster occurrence point is obtained for this map data 23, the longitude and latitude included in the position data are collated and linked in the map data 23 on the map. It is possible to display the disaster occurrence point in.
In addition, the GPS device exists by collating the longitude and latitude in the map data 23 with respect to the position data including the longitude and latitude obtained by the GPS device and linking the corresponding longitude and latitude. It is possible to display the points on a map. Therefore, in the drone camera 11, the fixed point monitoring camera 12, the report moving image data 30 and the report still image data 37 taken by the whistleblower with a smartphone or camera equipped with a GPS function, the longitude and latitude of the shooting location are It is possible to display the shooting location on the map from the numerical values.

The form data 25 stored in the form database 24 will be described.
There are different types of form data 25. For example, when the whistleblower sends the whistleblower image data 30 or the whistleblower still image data 37, the form data 25 is sent to the mobile phone 42 or the computer 43 used by the whistleblower, and the whistleblower video data 30 or There is form data 25 for transmitting the report still image data 37. In the case of this form data 25, it is urged to input the whistleblower data 28 and 35, select the identifier data 29 and 36, and input the explanatory text text for the image information.
Further, for the caller from the mobile phone 42 or the fixed telephone, the text analysis unit 6 reads out from the form database 24, analyzes the report voice text data 20 converted by the voice recognition unit 5, and then forms each form. It may be input according to the data 25.

Next, the data stored in the report image database 26 will be described.
The ID data 27 associated with the notification moving image data 30 and the ID data 34 associated with the notification still image data 37 are a general term for four types of IDs generated by the ID generation unit 7, as described with reference to Table 1. Is. These ID data 27 and 34 are readable and stored in the report image database 26 by the information generation unit 8.

The reporter data 28 and 35, which are readable and stored in the report image database 26 by the information generation unit 8 via the input unit 2, are data related to the name of the reporter based on images from the mobile phone 42 or the computer 43. Specifically, the data includes, for example, the items shown in Table 2, and the items shown in Table 2 are predetermined and stored in the information generation unit 8. In Table 2, the account is assigned by the whistleblower registering with the disaster prevention system 1, and may be arbitrarily determined by the whistleblower, or automatically assigned by the information generation unit 8 of the disaster prevention system 1. You may.
These reporter data 28 and 35 are input by the information generation unit 8 to the mobile phone 42 or computer 43 used by the reporter using the form data 25 transmitted via the output unit 3 to provide a report motion image. The information generation unit 8 can receive data via the input unit 2 in a state of being associated with the data 30 and the notification still image data 37 at the same time. That is, the information generation unit 8 can easily receive the form data 25 by including the contents of the whistleblower data 28 and 35 shown in Table 2.
Further, the whistleblower may transmit his / her own information to the disaster prevention system 1 in advance using the form data 25, even if it is not at the same time as the whistleblower video data 30 and the whistleblower still image data 37. In that case, the whistleblower data 28 and 35 are readable and stored in the information generation unit 8 via the input unit 2. In that case, when the whistleblower sends the whistleblower image data 30 and the whistleblower still image data 37, for example, by inputting only the account, it is not necessary to input the other whistleblower data 28 and 35, and the information is available. The generation unit 8 searches in the information generation unit 8 using the account as key information, and associates the extracted reporter data 28 and 35 with the report video data 30 and the report still image data 37.
Since the data related to the drone camera 11 and the fixed point monitoring camera 12 are recognized in advance as the reporter data 28 and 35, respectively, for the drone camera 11 and the fixed point monitoring camera 12, the notification moving image data 30 Although it is possible to link to the still image data 37, if the information source ID included in the ID data 27 can recognize the individual drone camera 11 and the fixed point monitoring camera 12, the reporter data 28 is not always available. , 35 need not be included.

The identifier data 29 and 36 readable and stored in the report image database 26 by the information generation unit 8 via the input unit 2 are the disaster content included in the report moving image data 30 and the report still image data 37, or the drone camera 11. This is data for identifying the disaster content included in the notification moving image data 30 and the notification still image data 37 received from the fixed point monitoring camera 12. Specifically, the data includes, for example, the items shown in Table 3, and the items shown in Table 3 are predetermined and stored in the information generation unit 8.
These identifier data 29 and 36 are input by the information generation unit 8 to the mobile phone 42 and the computer 43 used by the reporter using the form data 25 transmitted via the output unit 3 to report the moving image data. The information generation unit 8 can receive the information via the input unit 2 in a state of being associated with the 30 and the notification still image data 37 at the same time. That is, the information generation unit 8 can easily receive the form data 25 by including the contents of the identifier data 29 and 36 relating to the disaster contents shown in Table 3.
However, if the form data 25 is not transmitted or the reporter uses a terminal such as a mobile phone 42 that cannot receive the form data 25, the operator of the disaster prevention system 1 will use the report image database 26 to report the moving image. The disaster content of the data 30 and the report still image data 37 is confirmed, the corresponding identifier data 16 is selected from the identifier data 16 shown in Table 3, and is transmitted to the information generation unit 8 via the input unit 2 to be transmitted to the information generation unit 8. 8 is associated with the report moving image data 30 and the report still image data 37.

Ancillary data 31 consisting of shooting time data 32 and shooting position data 33 attached to the notification moving image data 30 as metadata, and shooting time data 39 and shooting position data attached to the notification still image data 37 as metadata. As described above, the incidental data 38 composed of 40 is attached to the notification moving image data 30 or the notification still image data 37 from the time of shooting, that is, the state in which the data is already associated with the data is generated. Therefore, it is not necessary to associate the data when it is received by the information generation unit 8.
As described above, the notification moving image data 30 and the notification still image data 37 using the shooting time data 32 and 39 and the shooting position data 33 and 40 as incidental data 31 and 38 readable and stored in the notification image database 26. On the other hand, the information generation unit 8 is associated with the notification video data 30 and the notification still image data 37 using the ID data 27, 34 and the form data 25 generated by the ID generation unit 7 and input to the information generation unit 8. The reporter data 28, 35 and the form data 25, which are input to the information generation unit 8 in the state of being linked to the reporter moving image data 30 and the report still image data 37, are input to the information generation unit 8. The identifier data 29 and 36 input to the information generation unit 8 via the input unit 2 by the operator of the disaster prevention system 1 are associated with each other.

Hereinafter, an embodiment embodying the embodiment described with reference to FIG. 1 will be described with reference to FIGS. 2 to 8. This embodiment is, for example, a case where an administrative agency or a public interest organization operates a disaster prevention system.
FIG. 2 is a conceptual diagram showing a state in which a telephone report from a third party (reporter) is received in the disaster prevention system according to the embodiment.
FIG. 2 shows a state in which the disaster prevention system 1 is stored in the dedicated computer 44, and the input unit 2, the output unit 3, the processing unit 4, the notification voice database 13, the character conversion database 19, and the notification image database 26 are also shown. It is stored in the dedicated computer 44. Therefore, the report from the whistleblower mobile phone 52 used by the whistleblower 51 is received by the dedicated computer 44 and functions as the input unit 2. Further, a display as an output unit 3 used by the operator of the disaster prevention system 1 is shown. Further, although not shown, a microphone and headphone set (not shown) is provided as a separate input unit 2 and output unit 3 for the operator from the dedicated computer 44, and the whistleblower mobile phone 52 of the whistleblower 51 is provided. It is possible to make a call.
When the whistleblower 51 reports the whistleblower voice data 17 using the whistleblower mobile phone 52, it is received by the dedicated computer 44 as the input unit 2 of the disaster prevention system 1, and the whistleblower voice data 17 is the processing unit 4 in the dedicated computer 44. It is transmitted to the voice recognition unit 5 of. At that time, the operator uses the microphone and the headphone as the input unit 2 and the output unit 3, and while being aware of the conversion to the notification voice text data 20 by the voice recognition unit 5 as described above, the reporter shown in Table 2 While inquiring about the contents of the data 15, it is advisable to inquire about which of the address of the disaster occurrence place and the identifier data 16 regarding the disaster contents shown in Table 3 corresponds to.

The voice recognition unit 5 of the processing unit 4 converts the notification voice data 17 into the notification voice text data 20, and the text analysis unit 6 further analyzes the contents of the notification voice text data 20. The text analysis unit 6 reads out the telephone content text data form 53 from the form data 25 stored in the form database 24, and automatically inputs the contents analyzed by the text analysis unit 6. The state is shown on the display as the output unit 3 in FIG.
Specifically, the reporter's telephone number, the report time, the location of the disaster site, and the disaster content are displayed in the state of being stored in the telephone content text data form 53 as the report content. The dispatch priority column is input as a result of the situation judgment by the operator.
In FIG. 2, in the column of the disaster name, "Heavy rain in July 2020" is selected and displayed by the operator as the event ID in the ID data 14. As described above, this event ID is generated by the ID generation unit 7, is selected by the operator, and can be input via the input unit 2.
Further, the field of the disaster area address is blank, which indicates the case where the address text data 21 could not be extracted from the report voice text data 20 by the text analysis unit 6. In such a case, the input is performed by the operator through the keyboard serving as the input unit 2.
In the disaster content column, the report voice text data 20 converted by the voice recognition unit 5 is displayed as "The river is about to collapse".
The reception time data 18 is displayed as 2020/07/14/11: 16 in the posting date and time column.
The ID data 14, the report voice text data 20, and the reception time data 18 associated with the report voice text data 20 are shown in this way. Although the whistleblower data 15, the identifier data 16 and the address text data 21 are not shown in FIG. 2, they are actually associated with each other by the information generation unit 8 and stored in the character conversion database 19. Further, the notification voice data 17 itself is also stored in the notification voice database 13 in association with various data by the information generation unit 8.
By storing it in the character conversion database 19 or the report voice database 13, it can be browsed by the persons concerned, and the disaster dispatch work can be made more efficient. When the notification voice text data 20 is stored in the character conversion database 19, the mapping is executed by the mapping unit 10, so that the map is displayed on the display as the output unit 3 of the disaster prevention system 1. It is possible and the disaster site can be confirmed.

Next, with reference to FIG. 3, a state in which an image taken by the fixed point surveillance camera 12 is viewed will be described. FIG. 3 is a conceptual diagram showing a state in which image data from a fixed point surveillance camera mapped on map data is popped up by a viewer in the disaster prevention system according to the embodiment.
In FIG. 3, the display screen 54 shows a map 55 of the area covered by the disaster prevention system 1, and the position where the fixed point monitoring camera 12 is installed is linked to the map data 23 on the map 55. An icon in the shape of a camera is displayed. When the icon of the fixed point surveillance camera 12 is clicked, a pop-up screen 56 is displayed. The image shown on the pop-up screen 56 is the notification moving image data 30 taken by the fixed point monitoring camera 12. Further, the position where the icon of the fixed point monitoring camera 12 is shown is a point that matches the position data in the map data 23 that matches the shooting position data 40 of the incidental data 38 of the fixed point monitoring camera 12. ..

The utilization of real-time photography using the drone camera 11 will be described with reference to FIG. FIG. 4 is a conceptual diagram showing a state in which an image of a disaster site is transmitted to a disaster prevention system according to an embodiment through a camera mounted on a drone and provided to a meeting in a local government office building.
Since the drone camera 11 can freely move in the air and take a picture, it is possible to rush to the vicinity of the disaster site if safety is ensured. Further, the image information taken by the drone camera 11 can transmit the notification moving image data 30 and the notification still image data 37 in real time to the disaster prevention system 1 constructed as the cloud 57 via the information communication network 41. be.
Therefore, the local government photography staff 61 operates the drone camera 11 while ensuring safety near the site, photographs the disaster site, obtains a photographed image 62, and uses this as the report moving image data 30 and the report still image data 37. By transmitting to the disaster prevention system 1, the large display 59 can be used for discussions such as confirmation work of the disaster site by the local government employee 60 held in the municipal office building 58 and examination of countermeasures for disaster recovery. It is possible to grasp the current situation quickly and in detail.
Further, although not shown in FIG. 4, the drone is also equipped with a GPS device, and the reported moving image data 30 and the reported still image data 37 include the shooting time data 32 and 39 and the shooting position data. Since 33 and 40 are attached, it is possible to take a record along the time series of the disaster site, and since it is mapped on the map data 23, the large display 59 shows the map data about the area near the disaster site. It is also possible to confirm the position of the drone camera 11 by displaying 23. This also applies to the fixed point surveillance camera 12 described with reference to FIG.
By using the disaster prevention system 1, it is possible to obtain information on disaster sites and places where disasters are likely to occur in real time, and the local government can quickly issue evacuation warnings before a disaster occurs and decide on countermeasures after a disaster occurs. It is possible to do it.

FIG. 5 is a conceptual diagram showing a state in which a disaster image transmitted from a whistleblower is mapped on map data and a state in which image data related to the disaster image is popped up by a viewer in the disaster prevention system according to the embodiment. With reference to FIG. 5, the processing of image information posted by the general public in the disaster prevention system 1 will be described.
In FIG. 5, when the whistleblower 65, who is a citizen present at the site where the disaster is occurring, tries to shoot and post the image information, the disaster prevention system 1 sends the form data 25 for posting the image information. The credit form 67 is transmitted by the information generation unit 8 to the whistleblower mobile phone 66 via the output unit 3. Using this transmission form 67, necessary input items corresponding to the whistleblower data 15 are input, and the whistleblower transmission image 68 is transmitted to the disaster prevention system 1 constructed as the cloud 57 via the information communication network 41. Since the shooting position data 33 and 40 are attached as metadata to the whistleblower transmission image 68 by the GPS device mounted on the whistleblower mobile phone 66, the whistleblower transmission image 68 is used as the map data 23 in the disaster prevention system 1. It can be linked to the position data of the corresponding position of.
Therefore, the transmitted whistleblower transmission image 68 is displayed as an icon 70 in the map 64 of the display screen 63 on the computer 43 of the user of the disaster prevention system 1, and when the icon 70 is clicked, the whistleblower transmission image 68 is transmitted as a pop-up image 69. Image 68 is displayed. In this way, the user of the disaster prevention system 1 can quickly and easily view the whistleblower transmission image 68 posted by the whistleblower 65, and can carry out swift evacuation activities and disaster prevention activities.

Next, with reference to FIG. 6, a description about browsing the disaster prevention system 1 will be added. By accessing the disaster prevention system 1 from the mobile phone 42 or the computer 43 and viewing the display screen 71, a large number of disasters and disaster prevention related notification voice text data 20, notification moving image data 30, or notification still image data 37 can be obtained. It is possible to find the associated icon on the map 72.
An example of the type of disaster to be viewed based on the identifier data 29 related to the disaster content is displayed on the upper left of the display screen 71, and the user can see "river flooding / flooding", "underfloor flooding / above-floor flooding", and "cliff". It is possible to select the desired type of disaster from "Collapse / Avalanche". In FIG. 6, "River flooding / flooding" is selected, and it is more difficult to see, but "underfloor inundation / above-floor inundation" and "cliff collapse / avalanche" are also selected, so the sort unit 9 of the disaster prevention system 1 is shown in the table. Report voice text data 20, report moving image data 30, report still image data 37 linked in map data 23 using the flood, flood, underfloor inundation, above-floor inundation, cliff collapse, and avalanche shown in 3 as search keys. The identifier data 16, 29, 36 of the above are searched, and the notification voice text data 20, the notification moving image data 30, and the notification still image data 37 associated with the identifier data 16, 29, 36 that match the above search key are linked. Is extracted and shown as an icon on the map 72.
When the user selects, for example, the icon 73a from the icons, a pop-up screen 74a regarding the landslide is displayed, and the pop-up image 75a, the posting date and time column 76a, the disaster area address column 77a, and the report content column 78a can be viewed. Is. On the other hand, when the icon 73b is selected, a pop-up screen 74b relating to underfloor flooding is displayed, and similarly, the pop-up image 75b, the posting date and time column 76b, the disaster area address column 77b, and the report content column 78b can be browsed.
At the upper part of the display screen 71, "Heavy rain in July 2020" is displayed as a disaster name common to the viewable report voice text data 20, the report moving image data 30, and the report still image data 37. However, this is the event ID in Table 1. This event ID will be described later with reference to FIG. 7. The disaster occurrence date is set to 2020/07/14, but this is the notification voice text data 20, the notification moving image data 30, and the notification still image whose reception time data 18 and shooting time data 32 and 39 are the same day. This is because the sorting unit 9 has extracted the data 37.

Next, the sort unit 9 of the disaster prevention system 1 will be described with reference to FIGS. 7 and 8.
FIG. 7 is a conceptual diagram for explaining a summary function of adding an event name as an ID by the ID generation unit of the disaster prevention system according to the embodiment of the present invention.
In FIG. 7, three disaster events such as typhoon No. 15, heavy rain in XX area, and XX earthquake occurred on the time axis extending horizontally to the right, and various information images ai are posted. The state is shown. If these information images ai are displayed on the map data 23 regardless of the posting time, it cannot be immediately understood which event is the cause, and it becomes complicated with the passage of time. .. In addition, when trying to formulate a long-term disaster prevention plan by knowing the history of disasters in a certain area, it is important to summarize what kind of disaster occurred for each disaster occurrence event.
Therefore, when the ID generation unit 7 of the disaster prevention system 1 generates the event ID in the ID data 14, for example, when the typhoon No. 15 in the second year of the decree occurs, the starting time 91a of the event corresponding period 93a By inputting the end point time 92a and the event name 94a, the notification voice text data 20 and the shooting position data 33, 40 associated with the reception time data 18 corresponding to the event corresponding period 93a are attached. For the notification video data 30 and the notification still image data 37, "Reiwa 2nd year typhoon No. 15" is generated as the event ID and included in the ID data 14, 27, 34. It is associated with the data 30 and the report still image data 37. Similarly, for the reception time data 18 and the shooting position data 33, 40 corresponding to the event applicable periods 93b, 93c specified by the start time 91b, 91c and the end time 92b, 92c, the event name 94b is XX area. The event ID of heavy rain and event name 94c is generated and included in the ID data 14, 27, 34, and linked to the notification voice text data 20, the notification moving image data 30, and the notification still image data 37, respectively.
In this way, the event ID is generated by the ID generation unit 7, and the sort unit 9 searches for and extracts the notification voice text data 20, the notification moving image data 30, or the notification still image data 37 using this event ID as a search key. be able to.

In FIG. 8, the ID generation unit 7 generates and attaches a desired event name assumed from the contents of image data existing in a certain period in the disaster prevention system as an ID, and the sort unit 9 searches for the business ID. It is extracted as a list 80 and summarized as a list 80.
In the list 80 of FIG. 8, the event ID is "Heavy rain in July 2020" described in the disaster name column 81, and the notification voice text data 20 and the notification moving image data having this event ID. 30 and the report still image data 37 are extracted. In the disaster content column 82, the disaster content is described by the text data attached at the time of posting the report moving image data 30 and the report still image data 37. Even when the poster (reporter) transmits the report voice data 17 by the mobile phone 42 or the fixed telephone, the report voice text data 20 is displayed in the disaster content column 82.
In the disaster area address field 83, the address text data 21, the report moving image data 30, and the report still image data 37 attached to the report voice text data 20, the shooting position data 33, 40, or the shooting position data 33 are attached. , 40 displays the area ID of the ID data 14 generated by the ID generation unit 7.
In the disaster date / time column 84, the reception time data 18 associated with the notification voice text data 20, the notification moving image data 30, and the shooting time data 32 and 39 attached to the notification still image data 37 are displayed. In this list 80, it is displayed in chronological order and the latest data is displayed at the top, but it may be reversed.
In the information source column 85, the information source ID of the ID data 14 associated with the notification voice text data 20, the notification moving image data 30, and the notification still image data 37 is displayed. It can be understood that the image information was sent by e-mail attachment. In the case of a report by telephone, it is displayed as "telephone", in the case of a drone camera 11, it is displayed as "drone", in the case of a fixed point surveillance camera 12, it is displayed as "fixed point surveillance camera" and the like.
Thumbnail images related to the notification video data 30 and the notification still image data 37 are displayed in the posting file column 86.
The reproduction time column 87 is not displayed in FIG. 8 because it is all reported still image data 37, but the reproduction time is displayed in the case of the reported moving image data 30. The report voice text data 20 is also blank.
The contributor name column 88 is a column in which the contributor name (reporter name) included in the whistleblower data 15, 28, 35 is displayed.
The e-mail address column 89 is a column in which the e-mail address of the poster (reporter) included in the whistleblower data 15, 28, 35 is displayed.
The operation instruction column 90 shows the operation contents for the list 80, and displays "map display" for displaying the map data 23 from the list 80, "print" for printing the list 80, and information. "Delete" to delete, each icon is displayed. The user can easily execute the operation by clicking these icons.
The list 80 shown in FIG. 8 is not open to the general public from the viewpoint of privacy protection, and the operator of the disaster prevention system 1, for example, the local government investigates the history of the disaster and a disaster occurs. It is used to grasp the tendency of the disaster prevention plan. However, another list in consideration of privacy protection may be disclosed to the general public from the list 80.

As described above, the disaster prevention system 1 according to the present embodiment collects information on the voice-only report from the residents, converts the report voice data 17 into the report voice text data 20, and reports the report video image data 30 and the report. Since it is possible to map on the map data 23 together with the still image data 37, and it is possible to widely collect both image information and text information and display them for viewing, it is possible to quickly and easily grasp the situation of a disaster. Furthermore, it is possible to browse more quickly and detailed information by comprehensively collecting the image information obtained by the fixed point monitoring camera 12 and the drone camera 11 and the image information from the residents. be.
In addition, since the drone camera 11 and the fixed point surveillance camera 12 can also receive and distribute live images, it is possible to grasp disasters, rescue activities, and disaster recovery activities at the disaster countermeasures headquarters set up in the local government. It is possible quickly and easily. Furthermore, the current state of the disaster can be promptly communicated to local residents.
Further, the ID generation unit 7 generates event IDs that can be summarized in time series as a collection of disasters as ID data 14, and the sort unit 9 searches for each event ID and corresponds to the report voice text data 20. Since it is possible to extract the notification video data 30 and the notification still image data 37, it is easy to make a plan for the recovery work immediately after the disaster, and after a long period of time, the sorting unit 9 is summarized. Depending on the function, it is possible to look back on the history and history of what kind of disaster damage occurred in each area, and it is possible to use it for planning long-term disaster prevention plans and civil engineering works such as river bank protection. Is.
In the mapping unit 10 of the disaster prevention system 1, when a large number of reporters make intensive reports in the same disaster, a plurality of report voice text data 20 are added to the position data on the map data 23 indicated by one icon by the summary function. Since the report moving image data 30 or the report still image data 37 can be linked, multiple data can be viewed on one icon, and quick browsing and understanding of the disaster situation, and depending on the disaster situation, quick evacuation action can be performed. It is also possible to take it.

Therefore, it is possible to easily search and extract disasters that occurred at any time. Further, for example, the area is limited, and the identifier data 29 is also limited, and by searching and extracting data over a long period of time using, for example, an event ID related to a typhoon as a search key, which area is in the event of a typhoon. It is also possible to know the characteristics of such damage, and it is possible to formulate a highly accurate disaster prevention plan for each area.
In this embodiment and the embodiment, the disaster prevention system that enables the collection and browsing of information on disaster prevention has been described, but instead of disaster prevention, the collection and browsing of information on tourism can be done as it is, and the reporting system is It can also be used as a tourist information system.

As described above, the invention according to claim 1 to 10 of the present invention is operated by a local government, a public institution, etc., and information is provided by these organizations, as well as by reporting or posting by the general public. It is possible to provide audio information and image information, and it is also possible to browse these information, which can be widely used for evacuation activities and disaster prevention activities. In addition, it can be widely used as a tourist information system by handling, for example, tourist information instead of disaster prevention information.

1 ... Disaster prevention system 2 ... Input unit 3 ... Output unit 4 ... Processing unit 5 ... Voice recognition unit 6 ... Text analysis unit 7 ... ID generation unit 8 ... Information generation unit 9 ... Sort unit 10 ... Mapping unit 11 ... Drone camera 12 ... Fixed point monitoring camera 13 ... Report voice database 14 ... ID data 15 ... Reporter data 16 ... Identifier data 17 ... Report voice data 18 ... Reception time data 19 ... Character conversion database 20 ... Report voice text data 21 ... Address text data 22 ... Map database 23 ... Map data 24 ... Form database 25 ... Form data 26 ... Report image database 27 ... ID data 28 ... Reporter data 29 ... Identifier data 30 ... Report motion image data 31 ... Ancillary data 32 ... Shooting time data 33 ... Shooting Time position data 34 ... ID data 35 ... Reporter data 36 ... Identifier data 37 ... Report still image data 38 ... Ancillary data 39 ... Shooting time data 40 ... Shooting position data 41 ... Information communication network 42 ... Mobile phone 43 ... Computer 44 … Dedicated computer 51… Reporter 52… Reporter mobile phone 53… Telephone content text data form 54… Display screen 55… Map 56… Pop-up screen 57… Cloud 58… Municipal office building 59… Large display 60… Municipal staff 61… Municipal photography Staff 62 ... Photographed image 63 ... Display screen 64 ... Map 65 ... Reporter 66 ... Reporter mobile phone 67 ... Sending form 68 ... Reporter sending image 69 ... Pop-up image 70 ... Icon 71 ... Display screen 72 ... Map 73a, 73b … Icon 74a, 74b… Pop-up screen 75a, 75b… Pop-up image 76a, 76b… Post date and time column 77a, 77b… Disaster area address column 78a, 78b… Report content column 80… List 81… Disaster name column 82… Disaster content column 83 ... Disaster area address column 84 ... Damage date and time column 85 ... Information source column 86 ... Post file column 87 ... Playback time column 88 ... Poster name column 89 ... Email address column 90 ... Operation instruction column 91a-91c ... Starting time 92a- 92c ... End point time 93a-93c ... Event applicable period 94a-94c ... Event name

Claims (10)

Provision of a voice recognition unit that recognizes the voice data of the phone received by the operator and converts it into voice text data, and the provider who provided the address data and the voice data regarding the area where the phone was made to the voice text data. An information generation unit that associates the person data, the identifier data preset according to the content of the voice text data, and the ID data for specifying or extracting the voice text data, and the map data by reading the address data. A reporting system characterized by having a mapping unit for collating and associating the voice text data with a corresponding position in the map data. The reporting system according to claim 1, further comprising a text analysis unit that analyzes the voice text data and generates the address data. The information generation unit associates reception time data relating to the time when the telephone is received with the voice text data, reads the reception time data and uses the reception time data, or reads the address data and the address data. The reporting system according to claim 1 or 2, further comprising a first sort unit for sorting the voice text data using the above. Desirable for the voice text data associated with the reception time data included in the period between the reception time data selected as the starting point and the other reception time data after the reception time data. The reporting system according to claim 3, further comprising a first ID generation unit that generates and associates an event name set in 1 as an ID. The information generation unit receives image data accompanied by time data and position data via an information communication network, and the identifier data and the image that are preset in the image data according to the content of the image data. The ID data for specifying or extracting the data is associated with the ID data, and the mapping unit reads the position data, collates it with the map data, and associates the image data with the corresponding position in the map data. The reporting system according to any one of claims 1 to 4, which is characterized. The information generation unit is characterized by having a second sort unit that sorts the image data by reading the time data and using the time data, or by reading the position data and using the position data. The reporting system according to claim 5. An event name desired to be set in the image data accompanying the time data included in the period between the time data selected as the starting point and the other time data after this time data. The reporting system according to claim 5 or 6, characterized in that it has a second ID generation unit that generates an ID. Any one of claims 5 to 7, wherein the image data is image data taken by at least one of a camera built in a mobile phone, a camera installed in a drone, or a fixed point surveillance camera. The reporting system described in Section 1. The disaster prevention system according to any one of claims 1 to 4, wherein the voice text data is used as voice text data related to disaster prevention information. In the reporting system according to any one of claims 5 to 8, the voice text data is used as voice text data related to disaster prevention information, and the image data is used as image data related to disaster prevention information. system.

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